LENOVO 82JY
Geekbench AI Score
2580
Single Precision Score
1184
Half Precision Score
3095
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | neo9922 |
| Upload Date | December 23 2024 01:15 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | LENOVO 82JY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2508
466.3 IPS |
|
|
Image Classification (HP)
|
100% |
451
83.8 IPS |
|
|
Image Classification (Q)
|
96% |
4223
788.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
620
10.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
1818
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4130
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3624
4.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
9012
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1955
155.1 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (Q)
|
58% |
2064
225.5 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
1064
12.6 IPS |
|
|
Face Detection (Q)
|
96% |
5526
65.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5854
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1853
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6923
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9596
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8332
10.7 IPS |
|
|
Style Transfer (Q)
|
87% |
10743
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1815
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1579
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2197
81.4 IPS |
|
|
Text Classification (SP)
|
100% |
1307
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
649
865.6 IPS |
|
|
Text Classification (Q)
|
97% |
388
519.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1516
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
547
9.42 IPS |
|
|
Machine Translation (Q)
|
68% |
1617
31.2 IPS |
